Egoist  心理's avatar

Egoist 心理

76561199807483494 Steam ID
987 hrs CS2 Hours
YES VAC Ban
Analyzed by TrackBans AI on 12/09/2025 17:41
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

The user hides their inventory. ❌
This player has 1 VAC ban, but has been actively playing CS2 recently (35.8 hours in the last 2 weeks), suggesting the ban is likely from another game.
Multiple Leetify data sources available (4 types) - prediction remains highly reliable despite Steam privacy settings.
Prediction Confidence: Very High based on detailed Leetify gameplay analysis, consistency pattern analysis, comprehensive Steam statistics, recent performance tracking.
(Probability: 0.28)

My analysis has revealed several key patterns. Let me break down what I discovered:
Data Sources:
Steam StatsLeetify AimPositioningConsistencyRecent DataSocial

Supporting Evidence:

Match History: Extensive history of 536 matches suggests established legitimate play
Natural Variance: Performance fluctuations are within normal human ranges
Clean Network: Social connections show low ban rates typical of legitimate players

Summary:

Risk Assessment: Mixed indicators present - some concerning patterns detected

The analysis reveals some patterns worth monitoring, but not definitive evidence of cheating. This assessment is based on pattern recognition and should be used as one factor in your evaluation.

This profile has been analyzed 2 times.

Take Action

Review the analysis and decide your next steps.

This is a statistical analysis based on public data. Confidence is not 100% accurate. Results should be considered alongside other factors when making decisions.

FAQ

Frequently Asked Questions

What does TrackBans say about this player?

Egoist 心理 has been analyzed by our AI. The score is based on 180+ public stats, not gameplay demos.

How many CS2 hours does this profile have?

According to Steam, the account has logged 987 hours in Counter-Strike 2.

What does the percentage actually mean?

It reflects how closely this account's patterns match those of already-banned users. 0-29% low risk, 30-49% caution, 50-79% suspicious, 80-100% high risk.

Can the AI make mistakes?

Yes — statistical models can yield false positives/negatives. If you believe the result is wrong, re-analyse after a few days; fresh data may change the outcome.

How reliable is TrackBans for CS2 cheat detection?

Our AI model achieves 86.29% F1-Score and 93.60% ROC-AUC, trained on 204,000+ profiles.